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Representation Learning

18863 directly classified papers

Papers per year

Papers

Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NIPS 2014
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NIPS 2014
Non-convex Robust PCA NIPS 2014
Tight convex relaxations for sparse matrix factorization NIPS 2014
Elementary Estimators for Graphical Models NIPS 2014
Deep Symmetry Networks NIPS 2014
Submodular Attribute Selection for Action Recognition in Video NIPS 2014
Finding a sparse vector in a subspace: Linear sparsity using alternating directions NIPS 2014
Structured Prediction via Output Space Search JMLR 2014
A Safe Screening Rule for Sparse Logistic Regression NIPS 2014
Learning a Concept Hierarchy from Multi-labeled Documents NIPS 2014
Cone-Constrained Principal Component Analysis NIPS 2014
Sparse Factor Analysis for Learning and Content Analytics JMLR 2014
Recovery of Coherent Data via Low-Rank Dictionary Pursuit NIPS 2014
Convex Deep Learning via Normalized Kernels NIPS 2014
SerialRank: Spectral Ranking using Seriation NIPS 2014
Scalable Non-linear Learning with Adaptive Polynomial Expansions NIPS 2014
Zeta Hull Pursuits: Learning Nonconvex Data Hulls NIPS 2014
Blossom Tree Graphical Models NIPS 2014
Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm NIPS 2014
An Autoencoder Approach to Learning Bilingual Word Representations NIPS 2014
large scale canonical correlation analysis with iterative least squares NIPS 2014
Large-Margin Convex Polytope Machine NIPS 2014
Dimensionality Reduction with Subspace Structure Preservation NIPS 2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus NIPS 2014